StatsExample-SinglePerson1 MATH2020FinalProjectRubric MATH2020FinalProjectGuidelines
Category 4 3 2 1 0
Amount of
Material*
It is conceivable this
would take you at least
7 minutes to present on
your own, and at least 5
minutes for each
additional group
member.
Your content falls about
1 minute short.
Your content is between
2-3 minutes short
Your content is less than
4 minutes worth.
You have no content.
Content of
Material
All background material
(including any biases and
citations) is clearly
documented in your
project. This should
include how you
collected the data (exact
phrasing of questions,
who you asked, etc) if
you collected your own
data.
Most of your
background is explained,
but it is not clearly
articulated or is in some
way incomplete. For
example, you discuss
where you got the data,
but forget to discuss
their bias, even if you
feel they have none, you
need to state this.
Some of the material
was discussed, but not
all. In general, 50% or
less was detailed. For
example, you may have
been discussing student
grade distribution but
fail to discuss what class
these grades are from.
The data you have
collected (either yourself
or via some other
medium) is not
appropriate for the test
you chose to do.
Any material is
plagiarized.
Realize that if any of this is unclear, you are welcome to ask questions up until the project is due. At that point, it is assumed all directions were
clear.
Points Awarded
Statistics
/
parameters
All statistics and/or
parameters used,
estimated, or found
during this analysis are
clearly outlined, labeled,
and appropriate/correct.
Most of your
statistics/paramters
(roughly 75% or more)
are labeled clearly and
are correct.
Roughly half of your
statistics/parameters
are correct and
accurately labeled.
Some of your
statistics/parameters
are correct; some of the
statistics/parameters
are labeled, however,
most of them are
incorrect and/or labeled
inappropriately.
You have no
statistics/parameters, or
they are all incorrect.
Work
The work you show is
accurate, appropriate to
the course, and is well
documented (i.e. all
steps are shown and
shown clearly). It is easy
to follow what you are
doing and why.
Most of your work is
clear and your reasoning
is sound, but perhaps
there is an error that
that makes a portion of
your analysis invalid.
Roughly half of your
work is clear and/or
accurate, but there are
some major issues that
bring your analysis into
question.
All material comes from
other sources, i.e. no
original content.
However, it is cited
properly.
No statistical analysis
was completed.
Otherwise, certain
analysis was described,
but never done.
Conclusion
Your conclusion is clearly
labeled, accurate to your
analysis, and wraps up
all of your initially posed
questions (though it may
propose questions for
further research). This
conclusion should be
able to be understood
by someone who has
never encountered
statisics in a formal
setting. In other words,
do not use technical
phrases such as
“confidence interval”
rather, explain what this
tells us; a so-what
factor.
The conclusion
summarizes the project
well, with minor flaws or
adjustments necessary.
There are minimal
inaccuracies in
interpretations and no
major pieces were left
unresolved.
A conclusion is given
that somehwat
summarizes what
happened in the project,
but is perhaps slightly
unapproachable, or
otherwise inconsice.
Brevity and accuracy are
perhaps low. Or
otherwise, there are an
unhealthy level of
inaccuracies or
unresolved questions.
A conclusion is implied,
but not stated or there is
a conclusion that has
much technical jargon
and is considered
unapproachable to
someone who has no
statistical background.
No conclusion is given;
project is incomplete or
is unintelligible.
Bonus points may be awarded at instructor’s discretion.
*Mostly this will be based on reading times for myself. You know that I speak a little quickly, so be sure to have enough material. It is also
worth noting, that you are *not* presenting this presentation you are preparing, make sure that you have a written script of what you might
have said to accompany a sparse power point. [There is actually a built in feature for PowerPoint to do this, if you would like me to show you
how.]
MATH2020 Final Project Guidelines
This project is meant to help you apply at least one concept from our class to something
you encounter in real life. Projects may be done individually or in groups. These can be
PowerPoints, papers, posters, whatever makes the most sense for you. The general
guideline for length is that the primary project should take you about 7-10 minutes to
present (if we were going to present them) and any additional people in the group should
contribute another 5-7 minutes of content. This can either be done by discussing another
perspective on the same data or the same concept on different data. Ask if you have any
questions.
This project is meant to springboard off of the last few chapters. PROJECTS CONTAINING
ONLY TOPICS COVERED IN CHAPTER 3 OR 4 ARE CONSIDERED INSUFFICIENT AND WILL
RECEIVE 0’s. Ask yourself a question that is not something you can simply count up. For
instance, do not ask how many blue M&Ms are in a bag, nor even that chance of pulling one
out of the bag. These are found by sitting down to count the candies and this proves little
about your statistical know-how. Instead, ask a question like, “Does it seem like more
women are in the nursing program than men? Does that only happen at SLCC?” Now you
have the foundation for hypothesis testing and you can answer a question that is possibly
relevant to other groups.
What Will Be Graded (See attached rubric for more details)
Be sure to state all your sources clearly. Include all data sets used. You will be graded on:
1. Having the required amount of material.
2. State all relevant background material. (i.e. did you create the data yourself or did
you read it somewhere? If you found the data elsewhere, does the person collecting
data have a bias (reason to want you to believe certain things)?)
3. Clearly outline what the population being studied is and all relevant statistics and
parameters.
4. Give details as to how you come to your conclusions. (For example, if you are doing
hypothesis testing, what was your null and alternative, what is your alpha level,
what made you decide all of those things?)
5. Bring everything together for a big picture perspective. This is not simply about
numbers, this is about something bigger. Your conclusion should state things in
layman’s terms (so that someone who has not taken a statistics course could
understand it).
Suggested Topics
Find a study in a magazine or online article that has a lot of information provided
and test their hypotheses yourself.
Ask me for tables of data from other resources so you may conduct your own tests.
Consider making your own data set. You could survey random students at school
with questions that are easy to quantify:
How many hours per week do you study?
How many speeding tickets have you ever gotten?
What do you pay for rent?
Invent your own.
Look up data from your favorite sport such as number of passes or home runs and
assess those using techniques we learned in class.
Look at data from a certain event that occurs often (weekly, monthly, yearly) where
you will have lots of data and see if you can notice trends that are statistically
significant. (For example, if you look at the Olympics, perhaps you can talk about
proportions of medals won by a certain country)
Be creative. This is your chance to talk about something you actually care about. I
can assist you with whatever ideas you have.
Tips on what you should do:
Cite everything somehow! I am not particularly picky about citation styles, use what
you are comfortable with. However, please make sure you are consistent and your
method is clear (for example, if you are using footnotes, make sure the footnotes are
included in your final project and they are easy to find and read.)
Find a topic that has lots of information and which is simple enough for you to tackle
with the materials from this class (it is Elementary Statistics after all).
Make sure what you want to know is easily quantifiable; qualitative data limits the
type of analysis you can do.
If you are working in groups, make sure that all work that is your own is clearly
labeled so that grades may be given accurately. [You may consider turning in
separate pieces of documentation, or at very least, including a note detailing what
work was your own]
If you collect your own data, please ensure that all criteria for whatever analysis you
want to do is met. For example, asking your 5 friends how they feel about
something, is not a real survey in which you can use the normal distribution.
Make sure that your final project is cohesive. There should be clear transitions
between ideas and topics (particularly if you are working in a group).
Please use proper formatting for mathematical symbols, if you don’t know how,
ASK!
Tips on what not to do:
PROJECTS CONTAINING ONLY TOPICS COVERED IN CHAPTER 3 OR 4 ARE
CONSIDERED INSUFFICIENT AND WILL RECEIVE 0’s.
Do not copy someone else’s project off the Internet (or someone else’s project from
a previous semester)
Do not do book problems and assume this is sufficient
Do not just make graphs; data alone is not enough
Do not just copy my notes back to me; I know how to do these problems already.
Do not forget your work cited information!
Do not use “text speak” I expect you to use proper English and grammar (within
reason) Ex: u≠you, capital letters are essential, etc.
Do not plagiarize!
Do not choose a topic that could in any way be inflammatory. In other words, make
sure that your school project is school appropriate.
If you can finish your project early, feel free to submit it for feedback. The project is due on
the day of the final exam.
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Formatting
Title Page
Citation
Outline
